When comparing Sentry vs jKool, the Slant community recommends Sentry for most people. In the question“What are the best log management, aggregation & monitoring tools?”Sentry is ranked 3rd while jKool is ranked 35th. The most important reason people chose Sentry is:

Sentry is a completely open source tool. It's free to use if you want to run it on your own. If you want to avoid the overhead of running and maintaining another server, it also has a hosted version available at www.getsentry.com

Pros

Pro

Completely open source, with a hosted version available

Sentry is a completely open source tool. It's free to use if you want to run it on your own. If you want to avoid the overhead of running and maintaining another server, it also has a hosted version available at www.getsentry.com

Pro

Email/Slack/GitHub/Hipchat integration

Newly discovered issues (i.e. one that isn't rolled-up under and existing one) can generate an instant notification via many means.

Pro

Source maps support

Has support for source maps.

Pro

Has an official Docker image

Sentry has an official Docker image which means it's likely going to be well reviewed and maintained for a while and it makes it easy to set up.

Pro

Can create projects and teams

A single Sentry server can be used for various teams/products.

Pro

Subscriptions to real-time updates

Subscriptions to real-time updates from infrastructure systems gives users proactive detection of application anomalies, as well as performance, availability and capacity issues. This enables users to capture perishable insights into application issues that they would normally miss.

Pro

Offers free option

JKool offers free option limited by daily data volume and retention. Easy to sign up and try. No commitment or credit card required to signup.

Pro

Open source connectors

Pro

Analyze logs: syslog, log4j, logback and others

You can use the jKool log collectors to stream syslogs and other logs to a jKool and be able to view and analyze your logs in a graphical oriented way. jKool can show error rates, anomalies, exceptions, groups, time buckets, time windows, aggregations and apply math functions across all your logs.

Pro

Supports Logstash as a datasource

jKool can consume incoming streams directly from Logstash. Combine Logstash with other streams to deliver a unified application view. Logstash integration is open source.

Pro

Automatic anomaly detection

Pro

Unique Visualization

Visualization is generated dynamically based on a data query as opposed to the typical canned views that have nothing to do with the specific query.

Pro

More than log analyzer

jKool does much more than just log analysis. Examples: end-user monitoring, application performance, transaction tracking, business metrics and IoT. Developers can use APIs (java, REST) to build extensions for streaming, visualization. jKool provides a unified model for all time series machine data.

Pro

Simple, easy to use, great UI

There are really only 2 things a user needs to do to show charts, graphs: 1) create a dashboard 2) Create viewlets. Each viewlets is bound with a JQKL query. JQKL queries can be typed in or built via a query builder for beginners. Pretty easy to get up and running without learning JQKL. There is also a UI tutorial once you logon to jKool.

Pro

Self service dashboard for users with different responsibilities.

Provides situational awareness to users from their own perspective. The benefits are translated to reduction of support calls and visibility for each user, from their own angles into root causes of problems within a couple of clicks.

Pro

Unified analytics support

Combines analytics for events, metrics (name, value pairs) and transactions with real-time and historical analytics in a single platform.

Pro

Transaction Tracking & Discovery

jKool is able to automatically connect/stitch multiple events coming from multiple sources into a business transaction(s), measure performance, completion, progress. Transactions can be grouped into user defined sets (payment, claims, etc).

Pro

Simple model: Stream Data->Run Queries->Analyze

Easy to use cloud based log and application analytics supporting standards such as Syslog, log4j, log files, end-user monitoring, transaction tracking. No schemas to define, agentless, no servers or storage to setup. Provides true transaction stitching and analytics -- track all transactions, 100% of the time. On-premise and cloud based (docker support available).

Alternative Products

Each month, over 2.8 million people use Slant to find the best products and share their knowledge. Pick the tags you’re passionate about to get a personalized feed and begin contributing your knowledge.